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Copenhagen Business School drives sustainability at Roskilde Festival using cloud data analytics
Technology Category
- Analytics & Modeling - Big Data Analytics
- Analytics & Modeling - Predictive Analytics
- Infrastructure as a Service (IaaS) - Cloud Computing
- Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries
- Education
- Consumer Goods
Applicable Functions
- Logistics & Transportation
- Sales & Marketing
Use Cases
- Real-Time Location System (RTLS)
- Predictive Maintenance
- Supply Chain Visibility
Services
- Cloud Planning, Design & Implementation Services
- Data Science Services
The Challenge
Roskilde Festival, the largest North European culture and music festival, faced the challenge of keeping 130,000 guests safely entertained, fed, watered and informed in a sustainable way. The festival generates huge volumes of real-time data, which if analyzed, could provide critical insights for planning and running the festival. The Copenhagen Business School (CBS) saw the festival as a potential real-world laboratory for improving sustainability issues. They wanted to understand the movement of people around the festival site, the sales of food and beverages over time, and the popularity of different musical events. However, the data types and data volumes were essentially unknown at the outset, requiring a highly flexible solution.
About The Customer
Roskilde Festival in Denmark is the largest North European culture and music festival. Run since 1971 by a non-profit, non-political society that supports humanitarian and cultural work, the ten-day festival hosts some of the biggest names in music and attracts 130,000 visitors annually. For one week each year, a small town called Roskilde on the outskirts of Copenhagen temporarily
The Solution
CBS partnered with IBM to create a big data laboratory capable of capturing and processing vast amounts of data for open-ended analysis. They used IBM technologies to build a cloud big data lab that correlates information from multiple sources, delivering valuable insight for planning and running the festival. The solution included IBM Bluemix, IBM dashDB, SoftLayer, IBM SPSS Modeler, and IBM Watson Analytics. The IBM solution was designed to process, store and analyze huge volumes of data, including unstructured data from 12,000 interviews with concertgoers. Data is stored in IBM dashDB, a fully managed cloud data warehouse service offering extremely fast response times and direct connectivity to the chosen analytics tools: IBM Watson Analytics and IBM SPSS Modeler.
Operational Impact
Quantitative Benefit
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